GHSA-RCFG-X28G-P9M3
Vulnerability from github – Published: 2024-06-06 21:30 – Updated: 2024-06-06 21:30
VLAI
Details
A Server-Side Request Forgery (SSRF) vulnerability exists in the stangirard/quivr application, version 0.0.204, which allows attackers to access internal networks. The vulnerability is present in the crawl endpoint where the 'url' parameter can be manipulated to send HTTP requests to arbitrary URLs, thereby facilitating SSRF attacks. The affected code is located in the backend/routes/crawl_routes.py file, specifically within the crawl_endpoint function. This issue could allow attackers to interact with internal services that are accessible from the server hosting the application.
Severity
7.7 (High)
{
"affected": [],
"aliases": [
"CVE-2024-4851"
],
"database_specific": {
"cwe_ids": [
"CWE-918"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-06-06T19:16:02Z",
"severity": "HIGH"
},
"details": "A Server-Side Request Forgery (SSRF) vulnerability exists in the stangirard/quivr application, version 0.0.204, which allows attackers to access internal networks. The vulnerability is present in the crawl endpoint where the \u0027url\u0027 parameter can be manipulated to send HTTP requests to arbitrary URLs, thereby facilitating SSRF attacks. The affected code is located in the backend/routes/crawl_routes.py file, specifically within the crawl_endpoint function. This issue could allow attackers to interact with internal services that are accessible from the server hosting the application.",
"id": "GHSA-rcfg-x28g-p9m3",
"modified": "2024-06-06T21:30:37Z",
"published": "2024-06-06T21:30:37Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4851"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/b6011986-954a-47da-a60c-fc7aebc8005d"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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